[Coding] Google-Style Mock Interview + Feedback

Are you preparing for a Google interview and want to know exactly where you stand?

In this 75-minute intensive session, I will simulate a real Google interview loop tailored to the role you are targeting. This isn't just a practice run; it is a calibration session designed to identify your blind spots before the real interviewers do.

What to expect:

1. Real Google Standards: I will evaluate you using the same rubrics used inside Google (Code Quality, Communication, Problem Solving, and "Googliness").
2. Stress Testing: We will tackle ambiguity, edge cases, and trade-offs just like a real interview.
3. Actionable Feedback: You won't just get a "pass/fail." You will get a detailed breakdown of specific areas to improve, whether it's your code modularity, your system design scalability, or how you structure your behavioral answers (STAR method).

Who is this for? Candidates targeting Software Engineering (SWE), Machine Learning Engineering (MLE), or Product Management roles who want an insider's perspective on their readiness.

I offer this service pro-bono to help the community. Instead of paying me, I invite you to support a cause.

1. Book & Token Donation: To show commitment to the slot, a small initial donation ($10-$20) to one of my fundraisers is appreciated.
2. Value-Based Top-up: If you find our session helpful and high-impact, feel free to increase your contribution afterwards!

Choose a cause to support:

1. 🎓 Khan Academy: For Free Universal Education – https://gofund.me/a19bfb47a
2. 🏫 VNIT Alumni (USA): Supporting STEM Students – https://gofund.me/843afecfb
3. 🕊️ JCNC: Jain Community & Non-Violence Mission – https://gofund.me/d9cce7346

Note: Donations are 100% voluntary and go directly to the charities.